Monte-Carlo-simulation-based optimization for copolymerization processes with embedded chemical composition distribution
Abstract: Highlights•Monte Carlo simulation is designed in a parallel way on the graphics processing unit (GPU) platform.•An adaptive algorithm is proposed to reduce computational cost based on error estimation of the Monte Carlo simulation.•A successive boundary shrinkage formulation is developed to improve the convergence of the optimization.•Monte-Carlo-Simulation-based optimization is conducted for copolymerization processes with embedded chemical composition distribution.
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